Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 53 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 7.2 KiB |
| Average record size in memory | 139.2 B |
Variable types
| Text | 1 |
|---|---|
| Numeric | 12 |
CochesVendidos_2017 is highly overall correlated with CochesVendidos_2018 and 4 other fields | High correlation |
CochesVendidos_2018 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2019 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2020 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2021 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
CochesVendidos_2022 is highly overall correlated with CochesVendidos_2017 and 4 other fields | High correlation |
PIB_2017 is highly overall correlated with PIB_2018 and 4 other fields | High correlation |
PIB_2018 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2019 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2020 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2021 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
PIB_2022 is highly overall correlated with PIB_2017 and 4 other fields | High correlation |
Country has unique values | Unique |
CochesVendidos_2017 has unique values | Unique |
CochesVendidos_2018 has unique values | Unique |
CochesVendidos_2019 has unique values | Unique |
CochesVendidos_2020 has unique values | Unique |
PIB_2017 has unique values | Unique |
PIB_2018 has unique values | Unique |
PIB_2019 has unique values | Unique |
PIB_2020 has unique values | Unique |
PIB_2021 has unique values | Unique |
PIB_2022 has unique values | Unique |
CochesVendidos_2020 has 1 (1.9%) zeros | Zeros |
CochesVendidos_2021 has 2 (3.8%) zeros | Zeros |
CochesVendidos_2022 has 2 (3.8%) zeros | Zeros |
Reproduction
| Analysis started | 2023-11-24 18:53:50.023902 |
|---|---|
| Analysis finished | 2023-11-24 18:54:05.824113 |
| Duration | 15.8 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
Country
Text
UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
Length
| Max length | 14 |
|---|---|
| Median length | 11 |
| Mean length | 7.6792453 |
| Min length | 4 |
Characters and Unicode
| Total characters | 407 |
|---|---|
| Distinct characters | 47 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 53 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Argentina |
|---|---|
| 2nd row | Australia |
| 3rd row | Austria |
| 4th row | Belgium |
| 5th row | Brazil |
| Value | Count | Frequency (%) |
| argentina | 1 | 1.7% |
| denmark | 1 | 1.7% |
| australia | 1 | 1.7% |
| kazakhstan | 1 | 1.7% |
| austria | 1 | 1.7% |
| belgium | 1 | 1.7% |
| brazil | 1 | 1.7% |
| bulgaria | 1 | 1.7% |
| canada | 1 | 1.7% |
| chile | 1 | 1.7% |
| Other values (48) | 48 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 60 | |
| i | 34 | 8.4% |
| n | 33 | 8.1% |
| e | 30 | 7.4% |
| r | 25 | 6.1% |
| l | 20 | 4.9% |
| t | 17 | 4.2% |
| o | 16 | 3.9% |
| u | 15 | 3.7% |
| d | 12 | 2.9% |
| Other values (37) | 145 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 344 | |
| Uppercase Letter | 58 | 14.3% |
| Space Separator | 5 | 1.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 60 | |
| i | 34 | |
| n | 33 | |
| e | 30 | 8.7% |
| r | 25 | 7.3% |
| l | 20 | 5.8% |
| t | 17 | 4.9% |
| o | 16 | 4.7% |
| u | 15 | 4.4% |
| d | 12 | 3.5% |
| Other values (14) | 82 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 7 | |
| A | 5 | 8.6% |
| P | 5 | 8.6% |
| C | 5 | 8.6% |
| I | 5 | 8.6% |
| N | 3 | 5.2% |
| R | 3 | 5.2% |
| M | 3 | 5.2% |
| U | 3 | 5.2% |
| B | 3 | 5.2% |
| Other values (12) | 16 |
Space Separator
| Value | Count | Frequency (%) |
| 5 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 402 | |
| Common | 5 | 1.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 60 | |
| i | 34 | 8.5% |
| n | 33 | 8.2% |
| e | 30 | 7.5% |
| r | 25 | 6.2% |
| l | 20 | 5.0% |
| t | 17 | 4.2% |
| o | 16 | 4.0% |
| u | 15 | 3.7% |
| d | 12 | 3.0% |
| Other values (36) | 140 |
Common
| Value | Count | Frequency (%) |
| 5 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 407 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 60 | |
| i | 34 | 8.4% |
| n | 33 | 8.1% |
| e | 30 | 7.4% |
| r | 25 | 6.1% |
| l | 20 | 4.9% |
| t | 17 | 4.2% |
| o | 16 | 3.9% |
| u | 15 | 3.7% |
| d | 12 | 2.9% |
| Other values (37) | 145 |
CochesVendidos_2017
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 652735.81 |
| Minimum | 7801 |
|---|---|
| Maximum | 4973577 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.0 B |
Quantile statistics
| Minimum | 7801 |
|---|---|
| 5-th percentile | 26157.6 |
| Q1 | 104116 |
| median | 251763 |
| Q3 | 578146 |
| 95-th percentile | 2584131.2 |
| Maximum | 4973577 |
| Range | 4965776 |
| Interquartile range (IQR) | 474030 |
Descriptive statistics
| Standard deviation | 984593.94 |
|---|---|
| Coefficient of variation (CV) | 1.5084111 |
| Kurtosis | 7.2296124 |
| Mean | 652735.81 |
| Median Absolute Deviation (MAD) | 171274 |
| Skewness | 2.5522547 |
| Sum | 34594998 |
| Variance | 9.6942522 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 859770 | 1 | 1.9% |
| 50495 | 1 | 1.9% |
| 1508843 | 1 | 1.9% |
| 7801 | 1 | 1.9% |
| 386442 | 1 | 1.9% |
| 145119 | 1 | 1.9% |
| 177900 | 1 | 1.9% |
| 140132 | 1 | 1.9% |
| 239725 | 1 | 1.9% |
| 434691 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 7801 | 1 | |
| 24223 | 1 | |
| 24834 | 1 | |
| 27040 | 1 | |
| 44264 | 1 | |
| 50165 | 1 | |
| 50495 | 1 | |
| 70304 | 1 | |
| 80489 | 1 | |
| 83991 | 1 |
| Value | Count | Frequency (%) |
| 4973577 | 1 | |
| 3419716 | 1 | |
| 2800661 | 1 | |
| 2439778 | 1 | |
| 2169110 | 1 | |
| 2037877 | 1 | |
| 1876296 | 1 | |
| 1508843 | 1 | |
| 1372519 | 1 | |
| 1122073 | 1 |
CochesVendidos_2018
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 664641.43 |
| Minimum | 16791 |
|---|---|
| Maximum | 5014383 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.0 B |
Quantile statistics
| Minimum | 16791 |
|---|---|
| 5-th percentile | 34515.2 |
| Q1 | 122849 |
| median | 254560 |
| Q3 | 579262 |
| 95-th percentile | 2682780.8 |
| Maximum | 5014383 |
| Range | 4997592 |
| Interquartile range (IQR) | 456413 |
Descriptive statistics
| Standard deviation | 1001379.9 |
|---|---|
| Coefficient of variation (CV) | 1.5066468 |
| Kurtosis | 6.9792692 |
| Mean | 664641.43 |
| Median Absolute Deviation (MAD) | 160358 |
| Skewness | 2.5355851 |
| Sum | 35225996 |
| Variance | 1.0027616 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 772980 | 1 | 1.9% |
| 52426 | 1 | 1.9% |
| 1396939 | 1 | 1.9% |
| 16791 | 1 | 1.9% |
| 410003 | 1 | 1.9% |
| 146197 | 1 | 1.9% |
| 168174 | 1 | 1.9% |
| 122849 | 1 | 1.9% |
| 254560 | 1 | 1.9% |
| 378354 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 16791 | 1 | |
| 25581 | 1 | |
| 30218 | 1 | |
| 37380 | 1 | |
| 41650 | 1 | |
| 52426 | 1 | |
| 58557 | 1 | |
| 72013 | 1 | |
| 82917 | 1 | |
| 88547 | 1 |
| Value | Count | Frequency (%) |
| 5014383 | 1 | |
| 3428367 | 1 | |
| 2928332 | 1 | |
| 2519080 | 1 | |
| 2475994 | 1 | |
| 1971108 | 1 | |
| 1832162 | 1 | |
| 1478681 | 1 | |
| 1396939 | 1 | |
| 1076319 | 1 |
CochesVendidos_2019
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 651419.17 |
| Minimum | 20764 |
|---|---|
| Maximum | 4934557 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.0 B |
Quantile statistics
| Minimum | 20764 |
|---|---|
| 5-th percentile | 35687.2 |
| Q1 | 116651 |
| median | 250291 |
| Q3 | 537814 |
| 95-th percentile | 2618163.8 |
| Maximum | 4934557 |
| Range | 4913793 |
| Interquartile range (IQR) | 421163 |
Descriptive statistics
| Standard deviation | 994103.35 |
|---|---|
| Coefficient of variation (CV) | 1.5260579 |
| Kurtosis | 7.0562478 |
| Mean | 651419.17 |
| Median Absolute Deviation (MAD) | 165445 |
| Skewness | 2.5753495 |
| Sum | 34525216 |
| Variance | 9.8824148 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 436794 | 1 | 1.9% |
| 53656 | 1 | 1.9% |
| 1288922 | 1 | 1.9% |
| 20764 | 1 | 1.9% |
| 415736 | 1 | 1.9% |
| 139354 | 1 | 1.9% |
| 162173 | 1 | 1.9% |
| 108257 | 1 | 1.9% |
| 186588 | 1 | 1.9% |
| 387845 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 20764 | 1 | |
| 26839 | 1 | |
| 31726 | 1 | |
| 38328 | 1 | |
| 47274 | 1 | |
| 53656 | 1 | |
| 61707 | 1 | |
| 71850 | 1 | |
| 81875 | 1 | |
| 90908 | 1 |
| Value | Count | Frequency (%) |
| 4934557 | 1 | |
| 3593854 | 1 | |
| 2679239 | 1 | |
| 2577447 | 1 | |
| 2570268 | 1 | |
| 1966372 | 1 | |
| 1772639 | 1 | |
| 1415709 | 1 | |
| 1288922 | 1 | |
| 983031 | 1 |
CochesVendidos_2020
Real number (ℝ)
HIGH CORRELATION UNIQUE ZEROS
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 509282.25 |
| Minimum | 0 |
|---|---|
| Maximum | 4375857 |
| Zeros | 1 |
| Zeros (%) | 1.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 20479 |
| Q1 | 87090 |
| median | 211601 |
| Q3 | 412650 |
| 95-th percentile | 2024941.2 |
| Maximum | 4375857 |
| Range | 4375857 |
| Interquartile range (IQR) | 325560 |
Descriptive statistics
| Standard deviation | 822975.32 |
|---|---|
| Coefficient of variation (CV) | 1.6159513 |
| Kurtosis | 9.7929509 |
| Mean | 509282.25 |
| Median Absolute Deviation (MAD) | 135114 |
| Skewness | 2.9345611 |
| Sum | 26991959 |
| Variance | 6.7728838 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 324340 | 1 | 1.9% |
| 45323 | 1 | 1.9% |
| 927577 | 1 | 1.9% |
| 15544 | 1 | 1.9% |
| 322283 | 1 | 1.9% |
| 106059 | 1 | 1.9% |
| 151411 | 1 | 1.9% |
| 69534 | 1 | 1.9% |
| 123403 | 1 | 1.9% |
| 226673 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 15544 | 1 | |
| 18697 | 1 | |
| 21667 | 1 | |
| 32477 | 1 | |
| 35264 | 1 | |
| 45323 | 1 | |
| 50892 | 1 | |
| 52553 | 1 | |
| 58136 | 1 |
| Value | Count | Frequency (%) |
| 4375857 | 1 | |
| 2926093 | 1 | |
| 2116932 | 1 | |
| 1963614 | 1 | |
| 1963496 | 1 | |
| 1450789 | 1 | |
| 1419068 | 1 | |
| 966878 | 1 | |
| 927577 | 1 | |
| 832657 | 1 |
CochesVendidos_2021
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 52 |
|---|---|
| Distinct (%) | 98.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 528352.55 |
| Minimum | 0 |
|---|---|
| Maximum | 4232790 |
| Zeros | 2 |
| Zeros (%) | 3.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 16185.2 |
| Q1 | 100373 |
| median | 230665 |
| Q3 | 429918 |
| 95-th percentile | 2206352.6 |
| Maximum | 4232790 |
| Range | 4232790 |
| Interquartile range (IQR) | 329545 |
Descriptive statistics
| Standard deviation | 816967.7 |
|---|---|
| Coefficient of variation (CV) | 1.5462549 |
| Kurtosis | 8.2614686 |
| Mean | 528352.55 |
| Median Absolute Deviation (MAD) | 164309 |
| Skewness | 2.7196263 |
| Sum | 28002685 |
| Variance | 6.6743623 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2 | 3.8% |
| 909983 | 1 | 1.9% |
| 185092 | 1 | 1.9% |
| 970626 | 1 | 1.9% |
| 7673 | 1 | 1.9% |
| 288920 | 1 | 1.9% |
| 141467 | 1 | 1.9% |
| 182274 | 1 | 1.9% |
| 66356 | 1 | 1.9% |
| 236044 | 1 | 1.9% |
| Other values (42) | 42 |
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 7673 | 1 | |
| 21860 | 1 | |
| 23612 | 1 | |
| 44019 | 1 | |
| 44954 | 1 | |
| 46723 | 1 | |
| 52978 | 1 | |
| 53079 | 1 | |
| 66356 | 1 |
| Value | Count | Frequency (%) |
| 4232790 | 1 | |
| 2627208 | 1 | |
| 2537021 | 1 | |
| 1985907 | 1 | |
| 1982758 | 1 | |
| 1533662 | 1 | |
| 1525872 | 1 | |
| 970626 | 1 | |
| 967323 | 1 | |
| 909983 | 1 |
CochesVendidos_2022
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 52 |
|---|---|
| Distinct (%) | 98.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 522082.49 |
| Minimum | 0 |
|---|---|
| Maximum | 4027746 |
| Zeros | 2 |
| Zeros (%) | 3.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 344.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 16062.6 |
| Q1 | 96754 |
| median | 226794 |
| Q3 | 451561 |
| 95-th percentile | 2230545.4 |
| Maximum | 4027746 |
| Range | 4027746 |
| Interquartile range (IQR) | 354807 |
Descriptive statistics
| Standard deviation | 807593.53 |
|---|---|
| Coefficient of variation (CV) | 1.5468696 |
| Kurtosis | 7.5870473 |
| Mean | 522082.49 |
| Median Absolute Deviation (MAD) | 170071 |
| Skewness | 2.659788 |
| Sum | 27670372 |
| Variance | 6.5220731 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2 | 3.8% |
| 918373 | 1 | 1.9% |
| 271520 | 1 | 1.9% |
| 994945 | 1 | 1.9% |
| 5118 | 1 | 1.9% |
| 279093 | 1 | 1.9% |
| 140207 | 1 | 1.9% |
| 172307 | 1 | 1.9% |
| 56723 | 1 | 1.9% |
| 224617 | 1 | 1.9% |
| Other values (42) | 42 |
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 5118 | 1 | |
| 23359 | 1 | |
| 27717 | 1 | |
| 36303 | 1 | |
| 37439 | 1 | |
| 41451 | 1 | |
| 42369 | 1 | |
| 45371 | 1 | |
| 49284 | 1 |
| Value | Count | Frequency (%) |
| 4027746 | 1 | |
| 2914485 | 1 | |
| 2618944 | 1 | |
| 1971613 | 1 | |
| 1774157 | 1 | |
| 1386382 | 1 | |
| 1352822 | 1 | |
| 994945 | 1 | |
| 918373 | 1 | |
| 908705 | 1 |
PIB_2017
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27568.859 |
| Minimum | 1177.083 |
|---|---|
| Maximum | 111211.77 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 556.0 B |
Quantile statistics
| Minimum | 1177.083 |
|---|---|
| 5-th percentile | 1947.8872 |
| Q1 | 9186.712 |
| median | 20430.567 |
| Q3 | 44274.073 |
| 95-th percentile | 72294.863 |
| Maximum | 111211.77 |
| Range | 110034.69 |
| Interquartile range (IQR) | 35087.361 |
Descriptive statistics
| Standard deviation | 24291.014 |
|---|---|
| Coefficient of variation (CV) | 0.88110334 |
| Kurtosis | 1.5192044 |
| Mean | 27568.859 |
| Median Absolute Deviation (MAD) | 16545.102 |
| Skewness | 1.2182026 |
| Sum | 1461149.5 |
| Variance | 5.9005334 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14618.327 | 1 | 1.9% |
| 111211.77 | 1 | 1.9% |
| 9599.362 | 1 | 1.9% |
| 1177.083 | 1 | 1.9% |
| 48799.874 | 1 | 1.9% |
| 42275.793 | 1 | 1.9% |
| 75940.152 | 1 | 1.9% |
| 17731.849 | 1 | 1.9% |
| 1653.406 | 1 | 1.9% |
| 3153.314 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 1177.083 | 1 | |
| 1653.406 | 1 | |
| 1932.763 | 1 | |
| 1957.97 | 1 | |
| 2592.707 | 1 | |
| 2655.99 | 1 | |
| 2957.899 | 1 | |
| 3153.314 | 1 | |
| 3885.465 | 1 | |
| 6577.287 | 1 |
| Value | Count | Frequency (%) |
| 111211.77 | 1 | |
| 82584.384 | 1 | |
| 75940.152 | 1 | |
| 69864.671 | 1 | |
| 61164.897 | 1 | |
| 57772.553 | 1 | |
| 55804.163 | 1 | |
| 53459.072 | 1 | |
| 48799.874 | 1 | |
| 47320.537 | 1 |
PIB_2018
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29419.159 |
| Minimum | 1271.677 |
|---|---|
| Maximum | 117993.37 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 556.0 B |
Quantile statistics
| Minimum | 1271.677 |
|---|---|
| 5-th percentile | 1863.8404 |
| Q1 | 9629.603 |
| median | 23176.358 |
| Q3 | 46625.859 |
| 95-th percentile | 80553.151 |
| Maximum | 117993.37 |
| Range | 116721.69 |
| Interquartile range (IQR) | 36996.256 |
Descriptive statistics
| Standard deviation | 25895.026 |
|---|---|
| Coefficient of variation (CV) | 0.8802096 |
| Kurtosis | 1.4879321 |
| Mean | 29419.159 |
| Median Absolute Deviation (MAD) | 16673.973 |
| Skewness | 1.213848 |
| Sum | 1559215.4 |
| Variance | 6.7055236 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11786.433 | 1 | 1.9% |
| 117993.371 | 1 | 1.9% |
| 10024.115 | 1 | 1.9% |
| 1271.677 | 1 | 1.9% |
| 53224.694 | 1 | 1.9% |
| 42761.93 | 1 | 1.9% |
| 82605.966 | 1 | 1.9% |
| 19885.103 | 1 | 1.9% |
| 1698.034 | 1 | 1.9% |
| 3279.519 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 1271.677 | 1 | |
| 1618.967 | 1 | |
| 1698.034 | 1 | |
| 1974.378 | 1 | |
| 2710.158 | 1 | |
| 3118.258 | 1 | |
| 3216.254 | 1 | |
| 3279.519 | 1 | |
| 3947.248 | 1 | |
| 6923.64 | 1 |
| Value | Count | Frequency (%) |
| 117993.371 | 1 | |
| 85546.669 | 1 | |
| 82605.966 | 1 | |
| 79184.608 | 1 | |
| 66836.539 | 1 | |
| 61724.492 | 1 | |
| 56352.938 | 1 | |
| 54295.731 | 1 | |
| 53224.694 | 1 | |
| 51234.477 | 1 |
PIB_2019
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28933.166 |
| Minimum | 1302.277 |
|---|---|
| Maximum | 113860.53 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 556.0 B |
Quantile statistics
| Minimum | 1302.277 |
|---|---|
| 5-th percentile | 1955.193 |
| Q1 | 9750.431 |
| median | 23333.317 |
| Q3 | 46449.962 |
| 95-th percentile | 78027.695 |
| Maximum | 113860.53 |
| Range | 112558.26 |
| Interquartile range (IQR) | 36699.531 |
Descriptive statistics
| Standard deviation | 25167.17 |
|---|---|
| Coefficient of variation (CV) | 0.8698381 |
| Kurtosis | 1.3512273 |
| Mean | 28933.166 |
| Median Absolute Deviation (MAD) | 17214.65 |
| Skewness | 1.18061 |
| Sum | 1533457.8 |
| Variance | 6.3338646 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10054.023 | 1 | 1.9% |
| 113860.533 | 1 | 1.9% |
| 10311.552 | 1 | 1.9% |
| 1302.277 | 1 | 1.9% |
| 52672.504 | 1 | 1.9% |
| 42287.718 | 1 | 1.9% |
| 76303.683 | 1 | 1.9% |
| 19069.311 | 1 | 1.9% |
| 1500.683 | 1 | 1.9% |
| 3512.195 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 1302.277 | 1 | |
| 1500.683 | 1 | |
| 1812.738 | 1 | |
| 2050.163 | 1 | |
| 3240.513 | 1 | |
| 3439.102 | 1 | |
| 3512.195 | 1 | |
| 3688.953 | 1 | |
| 4194.086 | 1 | |
| 6540.141 | 1 |
| Value | Count | Frequency (%) |
| 113860.533 | 1 | |
| 84474.469 | 1 | |
| 80613.712 | 1 | |
| 76303.683 | 1 | |
| 66070.471 | 1 | |
| 59678.596 | 1 | |
| 54289.066 | 1 | |
| 52672.504 | 1 | |
| 51694.498 | 1 | |
| 50195.321 | 1 |
PIB_2020
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28099.223 |
| Minimum | 1376.512 |
|---|---|
| Maximum | 117616.15 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 556.0 B |
Quantile statistics
| Minimum | 1376.512 |
|---|---|
| 5-th percentile | 1858.4388 |
| Q1 | 8571.937 |
| median | 22224.555 |
| Q3 | 44320.723 |
| 95-th percentile | 75279.841 |
| Maximum | 117616.15 |
| Range | 116239.64 |
| Interquartile range (IQR) | 35748.786 |
Descriptive statistics
| Standard deviation | 25473.647 |
|---|---|
| Coefficient of variation (CV) | 0.90656053 |
| Kurtosis | 1.8921115 |
| Mean | 28099.223 |
| Median Absolute Deviation (MAD) | 17908.409 |
| Skewness | 1.3183859 |
| Sum | 1489258.8 |
| Variance | 6.4890668 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8571.937 | 1 | 1.9% |
| 117616.151 | 1 | 1.9% |
| 8770.022 | 1 | 1.9% |
| 1527.434 | 1 | 1.9% |
| 52222.364 | 1 | 1.9% |
| 41307.21 | 1 | 1.9% |
| 68275.277 | 1 | 1.9% |
| 17076.319 | 1 | 1.9% |
| 1376.512 | 1 | 1.9% |
| 3325.836 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 1376.512 | 1 | |
| 1527.434 | 1 | |
| 1776.267 | 1 | |
| 1913.22 | 1 | |
| 3325.836 | 1 | |
| 3548.892 | 1 | |
| 3780.075 | 1 | |
| 3802.438 | 1 | |
| 3932.332 | 1 | |
| 5363.067 | 1 |
| Value | Count | Frequency (%) |
| 117616.151 | 1 | |
| 86109.53 | 1 | |
| 85786.688 | 1 | |
| 68275.277 | 1 | |
| 61274.006 | 1 | |
| 60926.877 | 1 | |
| 53094.491 | 1 | |
| 52706.294 | 1 | |
| 52222.364 | 1 | |
| 49168.162 | 1 |
PIB_2021
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32438.324 |
| Minimum | 1216.811 |
|---|---|
| Maximum | 134925.16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 556.0 B |
Quantile statistics
| Minimum | 1216.811 |
|---|---|
| 5-th percentile | 2148.4646 |
| Q1 | 10106.663 |
| median | 24703.713 |
| Q3 | 51472.103 |
| 95-th percentile | 91804.671 |
| Maximum | 134925.16 |
| Range | 133708.35 |
| Interquartile range (IQR) | 41365.44 |
Descriptive statistics
| Standard deviation | 29688.557 |
|---|---|
| Coefficient of variation (CV) | 0.91523093 |
| Kurtosis | 1.7744474 |
| Mean | 32438.324 |
| Median Absolute Deviation (MAD) | 18464.444 |
| Skewness | 1.3289984 |
| Sum | 1719231.2 |
| Variance | 8.8141043 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10631.665 | 1 | 1.9% |
| 134925.164 | 1 | 1.9% |
| 10177.039 | 1 | 1.9% |
| 1216.811 | 1 | 1.9% |
| 58960.71 | 1 | 1.9% |
| 48792.618 | 1 | 1.9% |
| 90540.804 | 1 | 1.9% |
| 19479.401 | 1 | 1.9% |
| 1565.575 | 1 | 1.9% |
| 3576.11 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 1216.811 | 1 | |
| 1565.575 | 1 | |
| 2013.971 | 1 | |
| 2238.127 | 1 | |
| 3576.11 | 1 | |
| 3753.428 | 1 | |
| 4145.939 | 1 | |
| 4362.677 | 1 | |
| 4874.309 | 1 | |
| 6239.269 | 1 |
| Value | Count | Frequency (%) |
| 134925.164 | 1 | |
| 101983.636 | 1 | |
| 93700.472 | 1 | |
| 90540.804 | 1 | |
| 77710.07 | 1 | |
| 69466.552 | 1 | |
| 63841.724 | 1 | |
| 61203.119 | 1 | |
| 58960.71 | 1 | |
| 53664.908 | 1 |
PIB_2022
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 53 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32910.628 |
| Minimum | 1227.697 |
|---|---|
| Maximum | 126598.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 556.0 B |
Quantile statistics
| Minimum | 1227.697 |
|---|---|
| 5-th percentile | 2347.1084 |
| Q1 | 11265.544 |
| median | 24540.377 |
| Q3 | 49843.163 |
| 95-th percentile | 97518.743 |
| Maximum | 126598.1 |
| Range | 125370.41 |
| Interquartile range (IQR) | 38577.619 |
Descriptive statistics
| Standard deviation | 29600.073 |
|---|---|
| Coefficient of variation (CV) | 0.89940772 |
| Kurtosis | 1.4254175 |
| Mean | 32910.628 |
| Median Absolute Deviation (MAD) | 17855.898 |
| Skewness | 1.3000851 |
| Sum | 1744263.3 |
| Variance | 8.7616433 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 13619.875 | 1 | 1.9% |
| 126598.103 | 1 | 1.9% |
| 11265.544 | 1 | 1.9% |
| 1227.697 | 1 | 1.9% |
| 57427.756 | 1 | 1.9% |
| 47226.095 | 1 | 1.9% |
| 105825.926 | 1 | 1.9% |
| 23240.138 | 1 | 1.9% |
| 1650.279 | 1 | 1.9% |
| 3623.593 | 1 | 1.9% |
| Other values (43) | 43 |
| Value | Count | Frequency (%) |
| 1227.697 | 1 | |
| 1650.279 | 1 | |
| 2279.972 | 1 | |
| 2391.866 | 1 | |
| 3623.593 | 1 | |
| 4086.519 | 1 | |
| 4587.172 | 1 | |
| 4606.798 | 1 | |
| 4798.118 | 1 | |
| 6658.119 | 1 |
| Value | Count | Frequency (%) |
| 126598.103 | 1 | |
| 105825.926 | 1 | |
| 103311.007 | 1 | |
| 93657.234 | 1 | |
| 82807.649 | 1 | |
| 68294.907 | 1 | |
| 64813.854 | 1 | |
| 57427.756 | 1 | |
| 56188.324 | 1 | |
| 55036.52 | 1 |
| CochesVendidos_2017 | CochesVendidos_2018 | CochesVendidos_2019 | CochesVendidos_2020 | CochesVendidos_2021 | CochesVendidos_2022 | PIB_2017 | PIB_2018 | PIB_2019 | PIB_2020 | PIB_2021 | PIB_2022 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CochesVendidos_2017 | 1.000 | 0.992 | 0.980 | 0.956 | 0.963 | 0.960 | 0.133 | 0.128 | 0.112 | 0.086 | 0.089 | 0.075 |
| CochesVendidos_2018 | 0.992 | 1.000 | 0.991 | 0.969 | 0.959 | 0.954 | 0.072 | 0.067 | 0.052 | 0.028 | 0.030 | 0.015 |
| CochesVendidos_2019 | 0.980 | 0.991 | 1.000 | 0.986 | 0.949 | 0.942 | 0.067 | 0.063 | 0.049 | 0.027 | 0.028 | 0.013 |
| CochesVendidos_2020 | 0.956 | 0.969 | 0.986 | 1.000 | 0.940 | 0.929 | 0.042 | 0.038 | 0.027 | 0.007 | 0.008 | -0.008 |
| CochesVendidos_2021 | 0.963 | 0.959 | 0.949 | 0.940 | 1.000 | 0.984 | 0.071 | 0.068 | 0.053 | 0.033 | 0.036 | 0.022 |
| CochesVendidos_2022 | 0.960 | 0.954 | 0.942 | 0.929 | 0.984 | 1.000 | 0.047 | 0.044 | 0.027 | 0.005 | 0.005 | -0.005 |
| PIB_2017 | 0.133 | 0.072 | 0.067 | 0.042 | 0.071 | 0.047 | 1.000 | 0.998 | 0.995 | 0.990 | 0.992 | 0.990 |
| PIB_2018 | 0.128 | 0.067 | 0.063 | 0.038 | 0.068 | 0.044 | 0.998 | 1.000 | 0.998 | 0.994 | 0.994 | 0.992 |
| PIB_2019 | 0.112 | 0.052 | 0.049 | 0.027 | 0.053 | 0.027 | 0.995 | 0.998 | 1.000 | 0.997 | 0.997 | 0.994 |
| PIB_2020 | 0.086 | 0.028 | 0.027 | 0.007 | 0.033 | 0.005 | 0.990 | 0.994 | 0.997 | 1.000 | 0.998 | 0.992 |
| PIB_2021 | 0.089 | 0.030 | 0.028 | 0.008 | 0.036 | 0.005 | 0.992 | 0.994 | 0.997 | 0.998 | 1.000 | 0.995 |
| PIB_2022 | 0.075 | 0.015 | 0.013 | -0.008 | 0.022 | -0.005 | 0.990 | 0.992 | 0.994 | 0.992 | 0.995 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Country | CochesVendidos_2017 | CochesVendidos_2018 | CochesVendidos_2019 | CochesVendidos_2020 | CochesVendidos_2021 | CochesVendidos_2022 | PIB_2017 | PIB_2018 | PIB_2019 | PIB_2020 | PIB_2021 | PIB_2022 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Argentina | 859770 | 772980 | 436794 | 324340 | 352514 | 378633 | 14618.327 | 11786.433 | 10054.023 | 8571.937 | 10631.665 | 13619.875 |
| 1 | Australia | 1122073 | 1076319 | 983031 | 832657 | 909983 | 918373 | 55804.163 | 56352.938 | 54289.066 | 53094.491 | 63841.724 | 64813.854 |
| 2 | Austria | 379184 | 370315 | 358175 | 274619 | 286070 | 226794 | 47320.537 | 51234.477 | 50195.321 | 48857.083 | 53528.707 | 52191.771 |
| 3 | Belgium | 578146 | 579262 | 584100 | 464683 | 416309 | 385225 | 44274.073 | 47685.347 | 46783.005 | 45545.233 | 51472.103 | 49843.163 |
| 4 | Brazil | 2169110 | 2475994 | 2679239 | 1963496 | 1982758 | 1971613 | 10419.576 | 9629.603 | 9364.237 | 7344.529 | 8165.637 | 9455.328 |
| 5 | Bulgaria | 24223 | 30218 | 31726 | 21667 | 23612 | 27717 | 8414.389 | 9489.657 | 9914.386 | 10170.723 | 12300.185 | 13821.205 |
| 6 | Canada | 1876296 | 1832162 | 1772639 | 1419068 | 1525872 | 1386382 | 45191.993 | 46625.859 | 46449.962 | 43383.713 | 52387.812 | 55036.520 |
| 7 | Chile | 317643 | 356720 | 310755 | 207331 | 292132 | 284240 | 15003.770 | 15755.003 | 14567.988 | 13067.742 | 16092.149 | 15166.472 |
| 8 | Colombia | 221987 | 239593 | 243742 | 171191 | 228549 | 236269 | 6577.287 | 6923.640 | 6540.141 | 5363.067 | 6239.269 | 6658.119 |
| 9 | Croatia | 44264 | 58557 | 61707 | 35264 | 44019 | 41451 | 13556.318 | 15009.085 | 15089.373 | 14231.063 | 17770.900 | 18305.030 |
| Country | CochesVendidos_2017 | CochesVendidos_2018 | CochesVendidos_2019 | CochesVendidos_2020 | CochesVendidos_2021 | CochesVendidos_2022 | PIB_2017 | PIB_2018 | PIB_2019 | PIB_2020 | PIB_2021 | PIB_2022 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 43 | Slovenia | 70304 | 72013 | 71850 | 52553 | 52978 | 45371 | 23511.316 | 26224.257 | 26138.901 | 25617.868 | 29338.087 | 28526.621 |
| 44 | South Africa | 514489 | 506208 | 485329 | 338429 | 408129 | 451561 | 6678.292 | 6991.709 | 6622.629 | 5672.278 | 6983.509 | 6684.479 |
| 45 | Spain | 1372519 | 1478681 | 1415709 | 966878 | 967323 | 883701 | 28211.927 | 30438.338 | 29603.298 | 26968.374 | 30563.552 | 29799.745 |
| 46 | Sweden | 346951 | 329629 | 337615 | 262611 | 274811 | 255811 | 53459.072 | 54295.731 | 51694.498 | 52706.294 | 61203.119 | 56188.324 |
| 47 | Switzerland | 323045 | 309841 | 324087 | 250457 | 254218 | 240093 | 82584.384 | 85546.669 | 84474.469 | 86109.530 | 93700.472 | 93657.234 |
| 48 | Thailand | 816464 | 923253 | 934137 | 720029 | 670160 | 775589 | 6593.816 | 7298.941 | 7812.886 | 7169.877 | 7227.476 | 7069.589 |
| 49 | Ukraine | 80489 | 82917 | 90908 | 87090 | 103582 | 36303 | 2655.990 | 3118.258 | 3688.953 | 3780.075 | 4874.309 | 4606.798 |
| 50 | Uruguay | 50165 | 41650 | 38328 | 32477 | 46723 | 49284 | 18626.981 | 18604.958 | 17636.703 | 15198.368 | 17333.608 | 20022.144 |
| 51 | Uzbekistan | 118879 | 203695 | 267952 | 276378 | 0 | 0 | 1932.763 | 1618.967 | 1812.738 | 1776.267 | 2013.971 | 2279.972 |
| 52 | Vietnam | 208320 | 250255 | 284376 | 264569 | 256840 | 328862 | 2957.899 | 3216.254 | 3439.102 | 3548.892 | 3753.428 | 4086.519 |